From a3ee36113238aacb10e1a67eb44c7b0e67c0c3c5 Mon Sep 17 00:00:00 2001 From: Heather Date: Mon, 10 Nov 2025 18:14:46 -0500 Subject: [PATCH] I am still plugging away at the argument project. I keep getting an error message saying "pd is not defined", but I have defined it SO many times. Not sure what to do. I've put the ask into discord a few days ago, but have not received any feedback yet --- .ipynb_checkpoints/argument-checkpoint.ipynb | 84 +++++++++--------- argument.ipynb | 87 +++++++++---------- .../Untitled-checkpoint.ipynb | 6 ++ data/Untitled.ipynb | 6 ++ 4 files changed, 98 insertions(+), 85 deletions(-) create mode 100644 data/.ipynb_checkpoints/Untitled-checkpoint.ipynb create mode 100644 data/Untitled.ipynb diff --git a/.ipynb_checkpoints/argument-checkpoint.ipynb b/.ipynb_checkpoints/argument-checkpoint.ipynb index 8c1c9e0..23ebdd8 100644 --- a/.ipynb_checkpoints/argument-checkpoint.ipynb +++ b/.ipynb_checkpoints/argument-checkpoint.ipynb @@ -59,7 +59,7 @@ "metadata": {}, "outputs": [], "source": [ - "#I chose this question becuase I generally try to eat healthy. Sometimes quick meals are a necesity. I am curious if common fast food restaurants truly offer healthier options " + "#I chose this question because I generally try to eat healthy. Sometimes quick meals are a necessity. I am curious if common fast food restaurants truly offer healthier options " ] }, { @@ -72,7 +72,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 2, "id": "technical-evans", "metadata": {}, "outputs": [], @@ -87,7 +87,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 2, "id": "overhead-sigma", "metadata": {}, "outputs": [], @@ -96,25 +96,20 @@ "\n", "# Load the dataset\n", "def pandas(pd):\n", - " file_path = 'Fast_Food_Dataset/nutrition.csv' # Update this with the correct path\n", - " data = pd.read_csv(file_path)" + " file_path = pd.read_csv(\"Fast_Food_Dataset/nutrition.csv\") \n", + "\n", + " \n", + "\n", + " # Update this with the correct path\n", + " " ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 3, "id": "heated-blade", "metadata": {}, - "outputs": [ - { - "ename": "SyntaxError", - "evalue": "invalid syntax (1804757086.py, line 1)", - "output_type": "error", - "traceback": [ - "\u001b[0;36m Cell \u001b[0;32mIn[12], line 1\u001b[0;36m\u001b[0m\n\u001b[0;31m def data (pd.read_csv):\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" - ] - } - ], + "outputs": [], "source": [ "#check first 15 rows\n", "def data (read_csv):\n", @@ -141,12 +136,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "basic-canadian", "metadata": {}, "outputs": [], "source": [ - "#Import any helper files you need here\n" + "#Import any helper files you need here\n", + "\n", + "import numpy as np\n", + "import matplotlib as mpl\n", + "import matplotlib.artist as martist\n", + "import matplotlib.patches as mpatches\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")\n", + "\n", + "\n" ] }, { @@ -173,12 +177,12 @@ }, { "cell_type": "code", - "execution_count": null, - "id": "44d5cdff-d651-46b8-8ee9-6bd6019c96c8", + "execution_count": 1, + "id": "0e3d2271-0361-4d42-a237-eff6b909c7b3", "metadata": {}, "outputs": [], "source": [ - "I will use rows 1-15 \n" + "#I will focus on rows 1-15 to reorganize the data into how many calories come from fat, which has the least amout of sodium and least amout of calories" ] }, { @@ -191,26 +195,14 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 11, "id": "negative-highlight", "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'data' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[2], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m#######################################################################\u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;66;03m#import rows 1-15\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[43mdata\u001b[49m\u001b[38;5;241m.\u001b[39mhead()\n\u001b[1;32m 4\u001b[0m \u001b[38;5;66;03m### \u001b[39;00m\n\u001b[1;32m 5\u001b[0m \u001b[38;5;66;03m### Your data analysis may include a statistic and/or a data visualization\u001b[39;00m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;66;03m#######################################################################\u001b[39;00m\n", - "\u001b[0;31mNameError\u001b[0m: name 'data' is not defined" - ] - } - ], + "outputs": [], "source": [ "#######################################################################\n", - "#import rows 1-15\n", - "data.head()\n", + "def file_path():\n", + " file_path = pd.read_csv(\"Fast_Food_Dataset/nutrition.csv\") \n", "### \n", "### Your data analysis may include a statistic and/or a data visualization\n", "#######################################################################" @@ -218,12 +210,24 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 14, "id": "victorian-burning", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'pd' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[14], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m file_path \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241m.\u001b[39mread_csv(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFast_Food_Dataset/nutrition.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined" + ] + } + ], "source": [ - "# 💻 YOU CAN ADD NEW CELLS WITH THE \"+\" BUTTON " + "file_path = pd.read_csv(\"Fast_Food_Dataset/nutrition.csv\")" ] }, { diff --git a/argument.ipynb b/argument.ipynb index ccbfa43..23ebdd8 100644 --- a/argument.ipynb +++ b/argument.ipynb @@ -59,7 +59,7 @@ "metadata": {}, "outputs": [], "source": [ - "#I chose this question becuase I generally try to eat healthy. Sometimes quick meals are a necesity. I am curious if common fast food restaurants truly offer healthier options " + "#I chose this question because I generally try to eat healthy. Sometimes quick meals are a necessity. I am curious if common fast food restaurants truly offer healthier options " ] }, { @@ -72,7 +72,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 2, "id": "technical-evans", "metadata": {}, "outputs": [], @@ -87,7 +87,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 2, "id": "overhead-sigma", "metadata": {}, "outputs": [], @@ -96,13 +96,17 @@ "\n", "# Load the dataset\n", "def pandas(pd):\n", - " file_path = 'Fast_Food_Dataset/nutrition.csv' # Update this with the correct path\n", - " data = pd.read_csv(file_path)" + " file_path = pd.read_csv(\"Fast_Food_Dataset/nutrition.csv\") \n", + "\n", + " \n", + "\n", + " # Update this with the correct path\n", + " " ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 3, "id": "heated-blade", "metadata": {}, "outputs": [], @@ -132,12 +136,21 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 4, "id": "basic-canadian", "metadata": {}, "outputs": [], "source": [ - "#Import any helper files you need here\n" + "#Import any helper files you need here\n", + "\n", + "import numpy as np\n", + "import matplotlib as mpl\n", + "import matplotlib.artist as martist\n", + "import matplotlib.patches as mpatches\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")\n", + "\n", + "\n" ] }, { @@ -164,29 +177,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "0e3d2271-0361-4d42-a237-eff6b909c7b3", "metadata": {}, "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "44d5cdff-d651-46b8-8ee9-6bd6019c96c8", - "metadata": {}, - "outputs": [ - { - "ename": "SyntaxError", - "evalue": "invalid syntax (339389244.py, line 1)", - "output_type": "error", - "traceback": [ - "\u001b[0;36m Cell \u001b[0;32mIn[16], line 1\u001b[0;36m\u001b[0m\n\u001b[0;31m I will use rows 1-15\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n" - ] - } - ], "source": [ - "I will use rows 1-15 \n" + "#I will focus on rows 1-15 to reorganize the data into how many calories come from fat, which has the least amout of sodium and least amout of calories" ] }, { @@ -199,25 +195,14 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 11, "id": "negative-highlight", "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'data' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[2], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m#######################################################################\u001b[39;00m\n\u001b[1;32m 2\u001b[0m \u001b[38;5;66;03m#import rows 1-15\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[43mdata\u001b[49m\u001b[38;5;241m.\u001b[39mhead()\n\u001b[1;32m 4\u001b[0m \u001b[38;5;66;03m### \u001b[39;00m\n\u001b[1;32m 5\u001b[0m \u001b[38;5;66;03m### Your data analysis may include a statistic and/or a data visualization\u001b[39;00m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;66;03m#######################################################################\u001b[39;00m\n", - "\u001b[0;31mNameError\u001b[0m: name 'data' is not defined" - ] - } - ], + "outputs": [], "source": [ "#######################################################################\n", - "\n", + "def file_path():\n", + " file_path = pd.read_csv(\"Fast_Food_Dataset/nutrition.csv\") \n", "### \n", "### Your data analysis may include a statistic and/or a data visualization\n", "#######################################################################" @@ -225,12 +210,24 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 14, "id": "victorian-burning", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'pd' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[14], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m file_path \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241m.\u001b[39mread_csv(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFast_Food_Dataset/nutrition.csv\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined" + ] + } + ], "source": [ - "# 💻 YOU CAN ADD NEW CELLS WITH THE \"+\" BUTTON " + "file_path = pd.read_csv(\"Fast_Food_Dataset/nutrition.csv\")" ] }, { diff --git a/data/.ipynb_checkpoints/Untitled-checkpoint.ipynb b/data/.ipynb_checkpoints/Untitled-checkpoint.ipynb new file mode 100644 index 0000000..363fcab --- /dev/null +++ b/data/.ipynb_checkpoints/Untitled-checkpoint.ipynb @@ -0,0 +1,6 @@ +{ + "cells": [], + "metadata": {}, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/data/Untitled.ipynb b/data/Untitled.ipynb new file mode 100644 index 0000000..363fcab --- /dev/null +++ b/data/Untitled.ipynb @@ -0,0 +1,6 @@ +{ + "cells": [], + "metadata": {}, + "nbformat": 4, + "nbformat_minor": 5 +}